Nitin Kumar Mangalam

Software Engineer

Seattle, Washington, United States9 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Designed scalable systems for millions of users.
Led high-impact projects improving pay reliability.
Expert in distributed systems and platform engineering.

Stackforce AI infers this person is a SaaS expert with a focus on distributed systems and cloud architecture.

Contact

nkmvicky@gmail.com LinkedIn

Skills

Core Skills

Platform ArchitectureData ReliabilityScalabilityMachine LearningCloud Computing

Other Skills

AWSActionScriptAlgorithmsCC#C++CSSComputer ScienceCore JavaData StructuresDatabasesDesignDevelopersDynamoDBESXi

About

Staff Engineer at DoorDash focused on building large-scale, reliable systems that power Dasher earnings and pay experiences. Over the past five years, I’ve designed and delivered multiple high-impact platforms—from re-architecting core reliability frameworks to launching new earning models used by millions of Dashers worldwide. My work focuses on distributed systems, data reliability, and platform engineering, with a strong emphasis on designing scalable architectures that strike a balance between performance, transparency, and operational simplicity. Core expertise: Distributed Systems • Platform Architecture • Data Reliability • Scalability • Observability • Java • Kotlin • Spring • AWS • DynamoDB

Experience

Doordash

3 roles

Staff Software Engineer

Promoted

Oct 2025 – Present · 5 mos · Seattle, Washington, United States

Leading the design of the next-generation Pay Platform, a unified and extensible system that powers consistent, transparent, and scalable earnings calculations across diverse markets and product lines.
Setting long-term technical direction for reliability, observability, and cost efficiency in the earnings and reconciliation ecosystem, while mentoring senior engineers and driving engineering excellence across teams.

JavaKotlinAWSDynamoDBSpringPlatform Architecture+1

Senior Software Engineer

Oct 2022 – Sep 2025 · 2 yrs 11 mos · Seattle, Washington, United States

Designed and delivered the Time Mode Pay Platform and Task-Based Pay System, introducing new earning models for Dashers that improved fairness, efficiency, and scalability across markets.
Led development of the Reconciliation Platform, strengthening the reliability and accuracy of pay data through automated validation, monitoring, and scalable data pipelines.

JavaKotlinAWSSpringData ReliabilityScalability

Software Engineer

Nov 2020 – Sep 2022 · 1 yr 10 mos · Seattle, Washington, United States

Led large-scale reliability and performance initiatives across Dasher systems, improving service latency by over 90 % and reducing on-call issues by half.
Strengthened system scalability and engineering quality by driving core data-infrastructure migrations, implementing a service-wide reliability framework, and mentoring new engineers.

JavaKotlinAWSData ReliabilityScalability

Amazon

2 roles

SDE

Mar 2020 – Nov 2020 · 8 mos · Seattle, Washington, United States

Designed and developed features in the Grocery Assortment Innovation through Machine Learning (GRAIL) team focused on improving the grocery selection modeling using Machine Learning in Amazon Fresh Fulfillment Centers.
Led the efforts in adding time-series functionality in the product to add features like seasonality, up-trending and down-trending products and added new frameworks for monitoring, alarming and for the generation of output metrics.

Machine LearningPython

SDE

Jun 2019 – Aug 2019 · 2 mos · Seattle, Washington, United States

Model Warehouse – ML Job Submission Portal: Developed a system using AWS services (API Gateway, Lambda, DynamoDB, S3, EC2, SNS, SES, CloudFormation, ACM, PythonMidwayLambdaInterceptor, CloudWatch) which allows users to upload input data (test data) to existing ML models and make predictions and vend those predictions back to the user, as well as dynamically create new ML models given training data.

AWSPythonCloud Computing

Mobileiron

2 roles

Senior Software Engineer

Promoted

Jan 2018 – Aug 2018 · 7 mos

Developed multiple core features and worked on the enhancement of existing features in Android and IOS in MobileIron Cloud Product.
Worked extensively on the Google Play EMM APIs for Android Enterprise for feature development and unit testing.
Responsible for researching and assessing Chrome OS to add it to the list of supported platforms.
Mentored new recruits and responsible for their development.

Software Engineer

Sep 2016 – Dec 2017 · 1 yr 3 mos

Vmware

2 roles

Member of Technical Staff 2

Jun 2016 – Aug 2016 · 2 mos

Worked on a tool called Code Flow Generator: This tool was created for a VMware Cloud management product known as vCloud Director. Using this tool, when the user triggers any operation in the product UI, the entire code path that is covered in that workflow is captured and parsed appropriately. This code path captured is then displayed as an easily understandable graph. The novelty of this idea is that the existing product code is not changed.
Worked on various boards like Intel Edison as part of a new IoT initiate of VMware. A working model was implemented and presented to Pat Gelsinger, CEO of VMware. I had worked on creating modules and APIs that allow a device to publish data to the cloud and an actuator to subscribe for data from devices.
Responsible for enhancing and extending the Code Flow Generator tool to all VMware Products as it has received huge appreciation from everyone and there is a huge interest in solving much bigger problems across all VMware products. This tool can address that need immensely well.
Worked on feature development and update releases for vCloud Director.
Working on feature development and update releases for vSphere Web Client.